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dc.contributor.authorMousa, Yousif Abdul-kadhim
dc.contributor.supervisorPetra Helmholzen_US
dc.contributor.supervisorDavid Beltonen_US

This study presents an automatic method for regularisation of building outlines. Initially, building segments are extracted using a new fusion method. Data- and model-driven approaches are then combined to generate approximate building polygons. The core part of the method includes a novel data-driven algorithm based on likelihood equation derived from the geometrical properties of a building. Finally, the Gauss-Helmert and Gauss-Markov models adjustment are implemented and modified for regularisation of building outlines considering orthogonality constraints.

dc.publisherCurtin Universityen_US
dc.titleBuilding Footprint Extraction from LiDAR Data and Imagery Informationen_US
curtin.departmentSchool of Earth and Planetary Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidMousa, Yousif Abdul-kadhim [0000-0002-2652-9995]en_US

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